PAPER P25 · 2020
Image-based crack assessment of bridge piers using unmanned aerial vehicles and three-dimensional scene reconstruction
Liu, Y.-F., Nie, X., Fan, J.-S., Liu, X.-G. — Computer-Aided Civil and Infrastructure Engineering
已读摘要 引用次数: openalex: 305 · semanticScholar: 277 (2026-10-22)
解决无人机巡检桥墩裂缝时的两个问题：近距离照片同时存在透视畸变和曲面畸变，且每张照片覆盖的桥墩面积太小，难以确定裂缝位置。文章将飞行路径与拍摄策略、裂缝检测和三维重建整合为一个工作流程。将检测到的裂缝投影到三角网格三维模型上，既校正了两种畸变，又将每条裂缝定位在桥墩上；该方法在一座真实桥墩上通过误差分析得到验证。
主要发现
- Crack projection onto a 3D triangular mesh corrects perspective and curved-surface distortion together
- Workflow outputs crack width and a located 3D surface model of the pier
- Validated with field tests and error analysis on a real bridge pier
局限
- Abstract only reviewed; numeric error values not given in the abstract
- Single pier field test
如果要从视频中截取帧，压缩格式很重要；参见选择编码格式与位深（航拍指南内）。